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Recent Blog Posts
Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice
Magical Realism Humans appear to use some very primitive sorting algorithms when presented with new discoveries, such as is it a God? … and … could this magic kill us all? In debates around AI, this tendency is creating increasingly polarised viewpoints and judgements...
Collaborative Architectures for Agents, People & Machines
We are working on some innovative learning projects to help leaders understand what agentic AI could mean for their roles and their organisations, and to help with readiness for adoption; so I have been reading about overcoming barriers and blockers relating to...
The Growing Importance of Context Engineering for Leaders Adopting AI
We have been thinking a lot recently about how to help business leaders understand, direct and deploy AI in their organisations without needing to become technical domain experts. Traditional approaches to learning, change and technology adoption increasingly feel...
Will AI be ‘Winner takes it all’ or General Purpose Technology?
In a week where more than one leading LLM seems to be creaking at the seams, suffering capacity issues or even going backwards in terms of output utility, it is worth re-stating why we think it is worth focusing on enterprise AI over consumer AI, and why we think it...
Codifying Rulesets in the Explainable Enterprise
The launch of Kimi’s K2 model was perhaps the most noteworthy AI-related news item of the past couple of weeks, and an indicator of the growing investment efficiency gap between China and the United States. Azeem Azhar’s coverage of the model and its implications,...
Is Enterprise AI Ultimately Less Risky than Consumer AI?
The debate about AI risks and potential harms is starting to bifurcate into the kind of toxic polarisation we are now used to seeing in politics, economics and other areas of life, amplified by online echo chambers. In addition to technical critics like Gary Marcus,...